Evidence map›Paper›PMID 40051013›Full record

SynthesisJournal of orthopaedic surgery and research2025

Orthopedic frailty risk stratification (OFRS): a systematic review of the frailty indices predicting adverse outcomes in orthopedics.

Nithin K Gupta, Forrest Dunivin, Hikmat R Chmait, Chase Smitterberg, Azhaan Buttar, Moiz Fazal-Ur-Rehman, Taylor Manes, Morgan Turnow, Tyler K Williamson, Benjamin C Taylor and 2 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
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  4. Article
  5. Article
  6. Frailty: An overlooked red flag in sports surgery.Journal of experimental orthopaedics · 2025
    Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Nithin K GuptaBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, MI, USA. n_gupta0210@email.campbell.edu.
Forrest DunivinKansas City University College of Osteopathic Medicine, Joplin, MO, USA.
Hikmat R ChmaitBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, MI, USA.
Chase SmitterbergBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, MI, USA.
Azhaan ButtarNorth Carolina State University, Raleigh, NC, USA.
Moiz Fazal-Ur-RehmanUniversity of Louisiana at Lafayette, Lafayette, LA, USA.
Taylor ManesDepartment of Orthopaedic Surgery, OhioHealth Grant Medical Center, Columbus, OH, USA.
Morgan TurnowDepartment of Orthopaedic Surgery, OhioHealth Grant Medical Center, Columbus, OH, USA.
Tyler K WilliamsonDepartment of Orthopaedic Surgery, University of Texas Health San Antonio, San Antonio, TX, USA.
Benjamin C TaylorDepartment of Orthopaedic Surgery, OhioHealth Grant Medical Center, Columbus, OH, USA.
Jack W WeickDepartment of Orthopaedic Surgery, OhioHealth Grant Medical Center, Columbus, OH, USA.
Christian BowersBowers Neurosurgical Frailty and Outcomes Data Science Lab, Flint, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith a growing number of elderly patients requiring elective and non-elective procedures, frailty-based preoperative risk stratification is an emerging tool in orthopedic surgery to minimize adverse postoperative outcomes. This paper sought to understand the current literature regarding preoperative Orthopedic Frailty Risk Stratification (OFRS) and describe the disparate frailty indices and their capabilities for discrimination in predicting adverse postoperative outcomes.

methodsA literature search was conducted in Pubmed, Cochrane, and Scopus for articles published during or prior to February 2024 assessing frailty following surgery for orthopedic pathologies. Qualitative variables including study characteristics and application of frailty were collected and synthesized. Quantitative meta-analysis was performed for pooled odds ratio (OR) and area under the curve (AUC) of frailty for mortality and complications. All methods were performed in accordance with PRISMA guidelines.

resultsOf the 81 included articles, over half (52%) addressed traumatic orthopedic pathologies with traumatic hip fractures being the most studied in the OFRS (25 studies). Less common categories included oncology, sports, and foot/ankle. Functional status and independence were the most common frailty domain (25, 96.2%) and component across scales (20, 76.9%), respectively. The 5-Item Modified Frailty Index (mFI-5) was the most common frailty index (28 publications). Meta-analysis demonstrated increasing frailty was an independent predictor of mortality (30-day OR: 2.89, 95% CI: 2.00-4.18; 1 year OR: 1.81, 95% CI: 1.48-2.22, p < 0.001), major complications (OR: 1.63, 95% CI: 1.10-2.41, p = 0.02), and Clavien-Dindo IV complications (OR: 3.26, 95% CI: 2.18-4.87, p < 0.001). Frailty had good discriminatory accuracy for predicting mortality at 30-days (AUC: 0.71, 95% CI: 0.68-0.74, p < 0.001), 3-months (OR: 0.75, 95% CI: 0.65-0.83, p < 0.001), and 1-year (OR:0.74, 95% CI: 0.73-0.75, p < 0.001).

conclusionsThe orthopedic surgery frailty literature is extremely heterogeneous, with disparate frailty scales implemented to measure varying outcomes across many orthopedic pathologies. Despite no consensus on exact scales or definitions, various frailty indices have predicted adverse outcomes.

Indexed as

FrailtyOrthopedic ProceduresPostoperative ComplicationsAgedAged, 80 and overFrail ElderlyGeriatric AssessmentHumansPredictive Value of TestsRisk AssessmentAnd preoperative risk stratificationComorbidity indexFrailty indexModified frailty index (mFI)Orthopedic frailty risk stratification (OFRS)Orthopedic surgery

Identifiers

PMID40051013
PMCPMC11887260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.